Uma biblioteca para cálculos de investimentos.
Project description
Meu Investimento
Uma biblioteca Python para cálculos de investimentos.
Instalação
Você pode instalar a biblioteca via pip:
pip install prj_investiment
Uso
from investimentos import calcular_retorno_investimento, calcular_juros_compostos
valor_inicial = 1000
valor_final = 1500
retorno = calcular_retorno_investimento(valor_inicial, valor_final)
print(f"Retorno do investimento: {retorno:.2f}%")
valor_final_juros = calcular_juros_compostos(valor_inicial, 6, 5)
print(f"Valor final com juros compostos: R${valor_final_juros:.2f}")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
prj_investiment-0.1.1.tar.gz
(2.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file prj_investiment-0.1.1.tar.gz.
File metadata
- Download URL: prj_investiment-0.1.1.tar.gz
- Upload date:
- Size: 2.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.0rc2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
06dfc88d78813bf89942e48db79ca0e7b40f062228e7639a28698850e2fa8557
|
|
| MD5 |
3ecff4f661009656e951c1a01238e2ec
|
|
| BLAKE2b-256 |
fffb455b1b625245f0573dc29493617033a7bfdb23ea3a9ba78896fcd98c3ec2
|
File details
Details for the file prj_investiment-0.1.1-py3-none-any.whl.
File metadata
- Download URL: prj_investiment-0.1.1-py3-none-any.whl
- Upload date:
- Size: 2.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.0rc2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a59af62771cd4d62a6ebce6459da0c1aa8c31d7f647c552651fe6a522c41fe19
|
|
| MD5 |
a3591507c9c2015fb3b765cfe242377e
|
|
| BLAKE2b-256 |
20106e3c17caea02fa3ec7eaaea69d7442599bd950b02f2212c9f118704ee446
|